Window Navigation with Adaptive Probing for Executing BlockMax WAND

Window Navigation with Adaptive Probing for Executing BlockMax WAND
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用于执行 BlockMax WAND 的带有自适应探测的窗口导航

DOI:
10.1145/3404835.3463109
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发表时间:
2021
期刊:
Proc. of 2021 ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR 2021
影响因子:
--
通讯作者:
Yang, T.
Yang, T.
中科院分区:
--
文献类型:
--
作者:
Shao, J.;Qiao, Y.;Ji, S.;Yang, T.

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BlockMax WAND(BMW)及其变体可以有效地修剪低得分文档,以实现快速的top-k析取查询处理。本文研究了一种增强方法,通过在一系列发布窗口上执行BMW或其变体来进一步加速文档检索,该窗口具有优先级以更早地收紧阈值界限的顺序。这种优化可以安全地消除更多涉及发布块访问和文档分数评估的操作。本文评估这种指数导航宝马和它的两个变种。
BlockMax WAND (BMW) and its variants can effectively prune low-scoring documents for fast top-k disjunctive query processing. This paper studies a boosting approach that further accelerates document retrieval by executing BMW, or one of its variants, on a sequence of posting windows with an order prioritized to tighten the threshold bound earlier. This optimization could add benefits to safely eliminate more operations involved in posting block visitation and document score evaluation. This paper evaluates such index navigation for BMW and two of its variants.
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